Integration of IoT in building energy infrastructure: A critical review on challenges and solutions

被引:38
|
作者
Moudgil, Vipul [1 ]
Hewage, Kasun [1 ,2 ]
Hussain, Syed Asad [1 ]
Sadiq, Rehan [1 ]
机构
[1] Univ British Columbia, Life Cycle Management Lab LCML, Sch Engn, Okanagan Campus,1137 Alumni Ave, Kelowna, BC V1V 1V7, Canada
[2] Univ British Columbia, Sch Engn, Okanagan Campus,EME4287-1137 Alumni Ave, Kelowna, BC V1V 1V7, Canada
来源
关键词
Internet of things; Building infrastructure; Building energy efficiency; Smart buildings; Cognitive buildings; Heating; Ventilation and Air-conditioning; MODEL-PREDICTIVE CONTROL; AIR-CONDITIONING SYSTEM; SMART BUILDINGS; WIRELESS SENSOR; FAULT-DETECTION; FEEDBACK LINEARIZATION; CONTROL STRATEGIES; DEMAND RESPONSE; HVAC SYSTEMS; MANAGEMENT;
D O I
10.1016/j.rser.2022.113121
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Internet of Things (IoT) has unprecedentedly entangled the physical world with cyber technologies and its integration with building infrastructure (BI) is no different. Integration of IoT can impart BI with upscale features like remote operations, automated management and user-centric facilities by developing an interconnected cognitive building (CB) ecosystem. However, this integration has entered an ambiguous phase of realizing mature adoption and practical utilization of IoT in BI for both academic and industrial domains. This ambiguity restricts the IoT and BI stakeholders to comprehend and acknowledge the full operational competency of IoT in BI. Thus, a significant research gap exists that deeply investigates the practical implementation and mature adoption of IoT in BI. The prime objective of this study is to establish a comprehensive review by exploring the state-of-art academic, technological and industrial research to identify major technological and behavioural interventions that successfully enhance the integration of IoT in BI. Besides, this study also highlights significant technical and non-technical challenges that require substantial research efforts for maturing the adoption of IoT in BI. The findings of the study argue that the full operational competency of IoT in BI is not yet realized and a dedicated effort from both IoT and BI stakeholders is required to provide modern BI with a generic IoT framework having cognitive intelligence and context-aware computing capabilities. The proposed study will assist the researchers in realizing the full operational competency of IoT in BI for more exciting innovations.
引用
收藏
页数:24
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